rowNorms: Normalize the rows of a matrix.
In ExPosition: Exploratory Analysis with the Singular Value Decomposition

Description Usage Arguments Details Value Author(s)

This function will normalize the rows of a matrix.

1	rowNorms(X, type = NULL, center = FALSE, scale = FALSE)

`X`	Data matrix
`type`	a string. Type of normalization to perform. Options are `hellinger`, `ca`, `z`, `other`
`center`	optional. A vector to center the columns of X.
`scale`	optional. A vector to scale the values of X.

rowNorms works like link{expo.scale}, but for rows. Hellinger row norm via hellinger, Correspondence analysis analysis row norm (row profiles) via ca, Z-score row norm via z. other passes center and scale to expo.scale and allows for optional centering and scaling parameters.

Returns a row normalized version of X.

Derek Beaton

ExPosition documentation built on May 1, 2019, 7:06 p.m.